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信号处理和机器学习算法用于分类麻醉深度

Oscar Mosquera Dussan1, Eduardo Tuta-Quintero1, Daniel A Botero-Rosas2

  • 1School of Medicine, Universidad de La Sabana, Chia, Colombia.

BMJ health & care informatics
|October 4, 2023
PubMed
概括

监测麻醉深度 (AD) 对患者安全至关重要. 这项研究开发了一种机器学习算法,使用生物信号在手术期间准确分类AD,改善麻醉师的决策.

关键词:
计算机模拟计算机模拟计算机辅助的计算机辅助.数据系统 数据系统.决策 决策 决策 决策 决策一般外科 整体外科医疗信息学 计算 计算 医学信息学

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Various sedation levels offer significant advantages in facilitating procedural interventions for patients undergoing medical or invasive surgical procedures. These levels span from anxiolysis to general anesthesia, providing a spectrum of sedative effects to cater to specific patient needs. Anxiolysis reduces anxiety and is achieved through minimal sedation, enabling patients to remain awake and responsive while feeling more at ease during the procedure. This level can benefit minor...
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